Abstract
This paper describes an approach to testing artificial neural networks that is implemented in a C++ program as a set of data structures and algorithms for their processing. C++ classes are used as data structures that implement the processing of the following objects: vertex, edge, directed and undirected graphs, spanning tree, and circuit. Interfaces for the most important overloaded operations on these objects are described. The implementation of a testing procedure that uses overloaded operations on graph model objects is illustrated.
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